C
Conrad C. Huang
Researcher at University of California, San Francisco
Publications - 64
Citations - 48439
Conrad C. Huang is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Haplotype & PharmGKB. The author has an hindex of 36, co-authored 63 publications receiving 36712 citations. Previous affiliations of Conrad C. Huang include University of California, Berkeley.
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Journal ArticleDOI
UCSF Chimera--a visualization system for exploratory research and analysis.
Eric F. Pettersen,Thomas D. Goddard,Conrad C. Huang,Gregory S. Couch,Daniel M. Greenblatt,Elaine C. Meng,Thomas E. Ferrin +6 more
TL;DR: Two unusual extensions are presented: Multiscale, which adds the ability to visualize large‐scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales.
Journal ArticleDOI
UCSF ChimeraX: Structure visualization for researchers, educators, and developers.
Eric F. Pettersen,Thomas D. Goddard,Conrad C. Huang,Elaine C. Meng,Gregory S. Couch,Tristan I. Croll,John H. Morris,Thomas E. Ferrin +7 more
TL;DR: ChimeraX brings significant performance and graphics enhancements, new implementations of Chimera's most highly used tools, several entirely new analysis features, and support for new areas such as virtual reality, light‐sheet microscopy, and medical imaging data.
Journal ArticleDOI
UCSF ChimeraX: Meeting modern challenges in visualization and analysis.
Thomas D. Goddard,Conrad C. Huang,Elaine C. Meng,Eric F. Pettersen,Gregory S. Couch,John H. Morris,Thomas E. Ferrin +6 more
TL;DR: This article highlights some specific advances in the areas of visualization and usability, performance, and extensibility in ChimeraX.
Journal ArticleDOI
The MIDAS display system
TL;DR: At the core of MIDAS is a hierarchical database system, designed specifically for macromolecules, that is both compact in its storage requirements and fast in its data access.
Journal ArticleDOI
Visualizing density maps with UCSF Chimera.
TL;DR: Methods for interactive visualization and analysis of density maps available in the UCSF Chimera molecular modeling package enable segmentation, fitting, coarse modeling, measuring and coloring ofdensity maps for elucidating structures of large molecular assemblies such as virus particles, ribosomes, microtubules, and chromosomes.